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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
CLARA 1.0 metric=euclidean
k=1
samples=20		 Clustering
Self Organizing Maps 0.496 x=2
y=1		 Clustering
Spectral Clustering 0.854 k=3 Clustering
clusterdp 1.0 k=3
dc=29.297496290449274		 Clustering
HDBSCAN 1.0 minPts=1
k=15		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=3		 Clustering
c-Means 0.496 k=2
m=1.01		 Clustering
k-Medoids (PAM) 0.5 k=13 Clustering
DIANA 1.0 metric=euclidean
k=2		 Clustering
DBSCAN 1.0 eps=18.184652869934034
MinPts=115		 Clustering
Hierarchical Clustering 1.0 method=complete
k=3		 Clustering
fanny 1.0 k=3
membexp=1.1		 Clustering
k-Means 0.496 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=0.8571428571428571
K=60		 Clustering
clusterONE 1.0 s=104
d=0.8666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=15.153877391611694
maxits=4250
convits=200		 Clustering
Markov Clustering 1.0 I=4.298298298298298 Clustering
Transitivity Clustering 1.0 T=7.887904147785867 Clustering
MCODE 0.496 v=0.7
cutoff=17.679523623546974
haircut=T
fluff=F		 Clustering